Fabric Defect Detection Based on Regional Growing PCNN. - Xiaoshu Si; Hong Zheng; Xuemin Hu (J. Multim., 2012)

Relative Localization in Wireless Sensor Networks for Measurement of Electric Fields under HVDC Transmission Lines. - Yong Cui 002; Qiusheng Wang; Haiwen Yuan; Xiao Song 001; Xuemin Hu; Luxing Zhao (Sensors, 2015)

A Self-Tuning PID Control System Based on Control Performance Assessment. - Weihua Cao; Xuemin Hu; Min Wu 002; Wei Yin (J. Adv. Comput. Intell. Intell. Informatics, 2016)

A learning based approach for social force model parameter estimation. - Zhiqiang Wan; Xuemin Hu; Haibo He; Yi Guo 004 (IJCNN, 2017)

Turn Signal Detection During Nighttime by CNN Detector and Perceptual Hashing Tracking. - Long Chen 005; Xuemin Hu; Tong Xu 014; Hulin Kuang; Qingquan Li 001 (IEEE Trans. Intell. Transp. Syst., 2017)

Learning a Deep Motion Planning Model for Autonomous Driving. - Sheng Song; Xuemin Hu; Jin Yu; Liyun Bai; Long Chen 005 (Intelligent Vehicles Symposium, 2018)

Parallel planning: a new motion planning framework for autonomous driving. - Long Chen 005; Xuemin Hu; Wei Tian 001; Hong Wang 014; Dongpu Cao; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2019)

Parallel Motion Planning: Learning a Deep Planning Model against Emergencies. - Long Chen 005; Xuemin Hu; Bo Tang 011; Dongpu Cao (IEEE Intell. Transp. Syst. Mag., 2019)

Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving. - Xuemin Hu; Bo Tang 011; Long Chen 005; Sheng Song; Xiuchi Tong (IEEE Trans. Intell. Transp. Syst., 2021)

Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving. - Long Chen 005; Xuemin Hu; Bo Tang 011; Yu Cheng (IEEE Trans. Intell. Transp. Syst., 2022)

Sim2real and Digital Twins in Autonomous Driving: A Survey. - Xuemin Hu; Shen Li; Tingyu Huang; Bo Tang 011; Long Chen 005 (CoRR, 2023)

FusionPlanner: A Multi-task Motion Planner for Mining Trucks using Multi-sensor Fusion Method. - Siyu Teng; Luxi Li; Yuchen Li 004; Xuemin Hu; Lingxi Li 001; Yunfeng Ai; Long Chen 005 (CoRR, 2023)

Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving. - Siyu Teng; Long Chen 005; Yunfeng Ai; Yuanye Zhou; Zhe Xuanyuan; Xuemin Hu (IEEE Trans. Intell. Veh., 2023)

Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives. - Siyu Teng; Xuemin Hu; Peng Deng; Bai Li 002; Yuchen Li 004; Yunfeng Ai; Dongsheng Yang; Lingxi Li 001; Zhe Xuanyuan; Fenghua Zhu; Long Chen 005 (IEEE Trans. Intell. Veh., 2023)

Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. - Xuemin Hu; Yanfang Liu; Bo Tang 011; Junchi Yan; Long Chen 005 (IEEE Trans. Intell. Transp. Syst., 2023)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving. - Xuemin Hu; Pan Chen; Yijun Wen; Bo Tang 011; Long Chen 005 (CoRR, 2024)

DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning. - Xuemin Hu; Shen Li; Yingfen Xu; Bo Tang 011; Long Chen 005 (CoRR, 2024)

Robust sparse concept factorization with graph regularization for subspace learning. - Xuemin Hu; Dan Xiong; Li Chai 001 (Digit. Signal Process., 2024)

Robust multi-view clustering via structure regularization concept factorization. - Xuemin Hu; Dan Xiong; Li Chai 001 (Digit. Signal Process., 2024)

How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence. - Xuemin Hu; Shen Li; Tingyu Huang; Bo Tang 011; Rouxing Huai; Long Chen 005 (IEEE Trans. Intell. Veh., 2024)

Concept factorization with adaptive graph learning on Stiefel manifold. - Xuemin Hu; Dan Xiong; Li Chai 001 (Appl. Intell., 2024)

Mixed Motivation Driven Social Multi-Agent Reinforcement Learning for Autonomous Driving. - Long Chen 005; Peng Deng; Lingxi Li 001; Xuemin Hu (IEEE CAA J. Autom. Sinica, 2025)